{"id":94667,"date":"2022-12-15T12:00:00","date_gmt":"2022-12-15T11:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94667"},"modified":"2024-08-07T14:34:45","modified_gmt":"2024-08-07T12:34:45","slug":"data-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/data-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models\/","title":{"rendered":"Data as Basis for Business Models"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] Legner, C.; Eymann, T.; Hess, T.; Matt, C.; B\u00f6hmann, T.; Drews, P.; M\u00e4dche,A.; Urbach, N.; Ahlemann, F.: Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community. In: Business &amp; Information Systems Engineering 59 (2017) 4, S. 301\u201308.<br \/>\n[2] Vargo, S. L.; Lusch, R. F.: Institutions and axioms: an extension and update of service-dominant logic. In: Journal of the Academy of Marketing Science 44 (2016) 1, S. 5\u201323.<br \/>\n[3] Annarelli, A.; Battistella, C.; Nonino, F.: Product service system: A conceptual framework from a systematic review. In: Journal of Cleaner Production 139 (2016), S. 1011\u201332.<br \/>\n[4] BearingPoint: Predictive Maintenance Studie 2021. Technologische H\u00fcrden sind \u00fcberwindbar \u2013 Erste messbare Erfolge geben Aufwind. URL: https:\/\/www.bearingpoint.com\/de-de\/in-sights-events\/insights\/chancen-und-herausforderungen-von-predictive-maintenance-in-der-industrie\/. Abrufdatum 11.10.2022.<br \/>\n[5] Peffers, K.; Tuunanen, T.; Rothenberger, M. A.; Chatterjee, S.: A Design Science Research Methodology for Information Systems Research. In: Journal of Management Information Systems 24 (2007) 3, S. 45\u201377.<br \/>\n[6] Gassmann, O.; Frankenberger, K.; Choudury, M.: Gesch\u00e4ftsmodelle entwickeln. 55 innovative Konzepte mit dem St. Galler Business Model Navigator, 2. Auflage. M\u00fcnchen 2017.<br \/>\n[7] Pflaum, A.; Schulz, E.: Auf dem Weg zum digitalen Gesch\u00e4ftsmodell. In: HMD Praxis der Wirtschaftsinformatik 55 (2018) 2, S. 234\u201351.<br \/>\n[8] Bogner, E.; K\u00f6rner, N.; Abersfelder, S.; Franke, J.: Innovative Gesch\u00e4ftsmodelle der Digitalisierung. In:<br \/>\n<br \/>Zeitschrift f\u00fcr wirtschaftlichen Fabrikbetrieb 111 (2016) 6, S. 368\u201371.<br \/>\n[9] Feng, Q.; Shanthikumar, J. G.: How Research in Production and Operations Management May Evolve in the Era of Big Data. In: Production and Operations Management 27 (2018) 9, S. 1670\u201384.<br \/>\n[10] Storbacka, K.; Windahl, C.; Nenonen, S.; Salonen, A.: Solution business models: Transformation along four continua. In: Industrial Marketing Management 42 (2013) 5, S. 705\u201316.<br \/>\n[11] Gro\u00df, R.; Tonn, K.: Erfahrungen auf dem Weg zum L\u00f6sungsanbieter bei der Firma TRUMPF Werkzeugmaschinen. In: Schmalenbachs Zeitschrift f\u00fcr betriebswirtschaftliche Forschung 64 (2012) S65, S. 173\u201385.<br \/>\n[12] Brady, T.; Davies, A.; Gann, D. M.: Creating value by delivering integrated solutions. In: International Journal of Project Management 23 (2005) 5, S. 360\u201365.<\/div>\n<div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\">\n<h2>Your downloads<\/h2>\n<p><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"94667\" data-userid =\"0\" data-filename=\"IM-06-2022_Fischer.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div>\n<br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/business-models\/\">Business Models<\/a><\/span> <div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/big-data\/\">Big Data<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/big-data-en\/\">Big Data<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/business-model\/\">business model<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/predictive-maintenance\/\">predictive maintenance<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/product-service-system\/\">product service system<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/qualitative\/\">qualitative<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Data%20as%20Basis%20for%20Business%20Models - https:\/\/industry-science.com\/en\/articles\/data-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/articles\/data-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip facebook\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" rel=\"noopener nofollow\"><i class=\"icon-facebook\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/x.com\/share?url=https:\/\/industry-science.com\/en\/articles\/data-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models\/\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip x\" title=\"Share on X\" aria-label=\"Share on X\" rel=\"noopener nofollow\"><i class=\"icon-x\" aria-hidden=\"true\"><\/i><\/a><a href=\"mailto:?subject=Data%20as%20Basis%20for%20Business%20Models&body=Check%20this%20out%3A%20https%3A%2F%2Findustry-science.com%2Fen%2Farticles%2Fdata-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models%2F\" class=\"icon button circle is-outline tooltip email\" title=\"Email to a Friend\" aria-label=\"Email to a Friend\" rel=\"nofollow\"><i class=\"icon-envelop\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.linkedin.com\/shareArticle?mini=true&url=https:\/\/industry-science.com\/en\/articles\/data-as-basis-for-business-models-recommendations-for-competitive-predictive-maintenance-business-models\/&title=Data%20as%20Basis%20for%20Business%20Models\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n","protected":false},"excerpt":{"rendered":"<p>The combination of product service systems and big data requires a change in the existing, traditional business models and a repositioning of the companies. Since these changes are often a challenge, this article uses the example of predictive maintenance to present the influences of big data and product service systems on the business models of medium-sized companies in mechanical and plant engineering. Based on a systematic literature review in combination with expert interviews, numerous practical business model implications were obtained, providing sound guidance for industry representatives.<\/p>\n","protected":false},"featured_media":95965,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[74715,80175,69401,71981,69123,78578],"product_cat":[],"topic":[],"technology":[67599],"knowhow":[],"industry":[],"writer":[83544,83543,83542],"content-type":[],"potential":[67626],"solution":[],"glossary":[],"class_list":["post-94667","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-big-data","tag-big-data-en","tag-business-model","tag-predictive-maintenance","tag-product-service-system","tag-qualitative","technology-analytics-en","writer-barbara-dinter-en","writer-saskia-ramm-en","writer-sven-seidenstricker-en","potential-business-models","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/IM-06-2022_Fischer-1400x788-64x36.jpg",64,36,true]},"uagb_author_info":{"display_name":"Christoph Brocks","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"The combination of product service systems and big data requires a change in the existing, traditional business models and a repositioning of the companies. Since these changes are often a challenge, this article uses the example of predictive maintenance to present the influences of big data and product service systems on the business models of&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/94667","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/95965"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=94667"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=94667"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=94667"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=94667"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=94667"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=94667"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=94667"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=94667"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=94667"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=94667"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=94667"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=94667"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=94667"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}